Patrick Brewick

Research

Professor Brewick’s research focuses on exploring the connections between data analytics, modeling, and mechanics. His research tackles the challenge of turning measurements into useful, informed models that accurately reflect the behavior and characteristics of the physical system while also incorporating the material uncertainties, behavioral nonlinearities, and noisy or incomplete measurements. Prof. Brewick is currently exploring the use of distributed fiber optic sensing systems, which have a variety of energy-relevant applications, including placement in composite turbine blades for strain monitoring.

Research Interests

System Identification, Structural Health Monitoring, Condition Assessment, Uncertainty Quantification, Model Calibration, Energy Conversion and Efficiency, Transformative Wind

Relevant Energy Publications

1. Brewick, Patrick T., Erik A. Johnson, Eiji Sato, and Tomohiro Sasaki. "Modeling the dynamic behavior of isolation devices in a hybrid base-isolation layer of a full-scale building." Journal of Engineering Mechanics 146, no. 11 (2020): 04020127.

2. Brewick, Patrick, and Andrew Geltmacher. "Investigating How Microstructural Features Influence Stress Intensities in Pitting Corrosion." In Challenges in Mechanics of Time Dependent Materials, Fracture, Fatigue, Failure and Damage Evolution, Volume 2, pp. 77-85. Springer, Cham, 2020.
3. Teferra, Kirubel, and Patrick T. Brewick. "A Bayesian model calibration framework to evaluate brain tissue characterization experiments." Computer Methods in Applied Mechanics and Engineering 357 (2019): 112604.
4. Brewick, Patrick T., Virginia G. DeGiorgi, Andrew B. Geltmacher, and Siddiq M. Qidwai. "Modeling the influence of microstructure on the stress distributions of corrosion pits." Corrosion Science 158 (2019): 108111.
5. Brewick, Patrick T., Stuart I. Wright, and David J. Rowenhorst. "NLPAR: Non-local smoothing for enhanced EBSD pattern indexing." Ultramicroscopy 200 (2019): 50-61.